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Running experiments on Amazon Mechanical Turk
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The authors presented new demographic data about the Mechanical Turk subject population, reviewed the strengths of Mechanical Turk relative to other online and offline methods of recruiting subjects, and compared the magnitude of effects obtained using Mechanical Turk and traditional subject pools.Abstract:
Although Mechanical Turk has recently become popular among social scientists as a source of experimental data, doubts may linger about the quality of data provided by subjects recruited from online labor markets. We address these potential concerns by presenting new demographic data about the Mechanical Turk subject population, reviewing the strengths of Mechanical Turk relative to other online and offline methods of recruiting subjects, and comparing the magnitude of effects obtained using Mechanical Turk and traditional subject pools. We further discuss some additional benefits such as the possibility of longitudinal, cross cultural and prescreening designs, and offer some advice on how to best manage a common subject pool.read more
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A reliability analysis of Mechanical Turk data
TL;DR: MTurk-based responses for a personality scale were found to be significantly less reliable than scores previously reported for a community sample, and the presence of an item asking respondents to affirm that they were attentive and honest was associated with more reliable responses.
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Data collection in the digital age: innovative alternatives to student samples
TL;DR: This paper examines the consistency of survey results across student samples, consumer panels, and online crowdsourcing markets (specifically Amazon's Mechanical Turk) both within the United States and outside and finds that U.S. OCM samples produced models that lead to similar statistical conclusions as both U. s. and non-U.s. participants.
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Amazon Mechanical Turk in Organizational Psychology: An Evaluation and Practical Recommendations
TL;DR: In this paper, the authors present an evaluation of MTurk and provide a set of practical recommendations for researchers using the data source, based on which they evaluate the effectiveness of using it.
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“Participant” Perceptions of Twitter Research Ethics:
Casey Fiesler,Nicholas Proferes +1 more
TL;DR: An exploratory survey of Twitter users’ perceptions of the use of tweets in research finds that these attitudes are highly contextual, depending on factors such as how the research is conducted or disseminated, who is conducting it, and what the study is about.
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MTurk Research: Review and Recommendations:
TL;DR: The use of Amazon's Mechanical Turk (MTurk) in management research has increased over 2,117% in recent years, from 6 papers in 2012 to 133 in 2019.
References
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The Framing of Decisions and the Psychology of Choice
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways.
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Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?
TL;DR: Findings indicate that MTurk can be used to obtain high-quality data inexpensively and rapidly and the data obtained are at least as reliable as those obtained via traditional methods.
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On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications.
TL;DR: In this paper, the authors focus on some of the qualities peculiar to psychological experiments and point out that the demand characteristics perceived in any particular experiment will vary with the sophistication, intelligence, and previous experience of each experimental subject.
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Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The conjunction rule as mentioned in this paper states that the probability of a conjunction cannot exceed the probabilities of its constituents, P (A) and P (B), because the extension (or the possibility set) of the conjunction is included in the extension of their constituents.
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Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires.
TL;DR: Internet data collection methods, with a focus on self-report questionnaires from self-selected samples, are evaluated and compared with traditional paper-and-pencil methods and it is concluded that Internet methods can contribute to many areas of psychology.